Wandora

Wandora is a general purpose knowledge extraction, management, and publishing environment based on Topic Maps. More precisely Wandora is a Java application to build and manage topic maps. Wandora suits well for knowledge mashups for example. Wandora has graphical user interface, layered presentation of knowledge, several data storage options, rich data extraction, import and export capabilities, and open plug-in architecture. Wandora has also a server companion enabling dynamic publication of topic maps. Wandora is owned and copyrighted by Grip Studios Interactive Oy and you are granted a personal and non-commercial license to use Wandora. This site, WandoraWiki, is a home of Wandora software application and an ongoing project. Due to extensive abuse user creation is disabled. Should you require editing rights for the wiki or Wandora support please contact Wandora authors at support wandora.org. Keywords: topic maps, semantic web, editor, software, Java, XTM, LTM, RDF(S), metadata, data mining News August 30, 2007: Wandora application updated! New version of Wandora has a graph visualization scheme for topic maps. Read more at Topic panels. Get familiar with Wandora and meet us at the Third International Conference on Topic Maps Research and Applications 2007, TMRA'07 as Olli Lyytinen, one of the Wandora authors gives a gentle tutorial An introduction to Wandora covering Wandora's topic map editing and publishing features. See also past news...

Download Wandora Change log Open bugs Download (build date 2016-05-10) License Wandora Documentation Features FAQ of Wandora System requirements How to install Wandora How to use Wandora application (this is the main entry to Wandora documentation) Available tools Wandora server Wandora Javadocs Topic maps WordNet Other Documents Lyytinen O.: Building Internet Services with Layered Topic Maps. Presentation held in The Finnish Artificial Intelligence Conference (STeP 2006), 2006-10-26. Kivelä A., Lyytinen O.: Topic Map Aided Publishing – A Case Study of Assembly Media Archive. Web Intelligence. STeP 2004 - The 11th Finnish Artificial Intelligence Conference Proceedings - Vol. 2, 2004.